Description

Key Skills: Java, Java EE, Eclipse RCP, PostgreSQL, WildFly, JPA, Hibernate, Azure DevOps, Docker, Maven

Good to Have Skills: SWT, JFace, Jakarta EE, JPQL, CriteriaBuilder, Git workflows, Eclipse Tycho, CI/CD pipelines, enterprise software architecture, object-oriented development, clean code and design patterns, modularisation of applications, legacy system evolution, automated build and release processes, JVM tuning, performance profiling, and experience in regulated or complex operational environments such as Forensics and LIMS.

Roles & Responsibilities:

• Own and contribute to architecture and development of enterprise Java applications within the eLIMS-Forensics programme.
• Provide technical guidance on design and implementation across distributed development teams in UK, Europe, nearshore and offshore locations.
• Support modernisation and evolution of legacy forensic systems ensuring scalable, maintainable and high-performance solutions.
• Develop enterprise applications across client and server components using modern Java technologies and frameworks.
• Define software architecture for enterprise applications applying object-oriented design and design patterns following SOLID and Clean Code principles.
• Design and optimise backend services and data models ensuring scalability, integrity and performance of data-intensive systems.
• Develop and maintain CI/CD pipelines in Azure DevOps and manage containerised environments using Docker.
• Ensure high code quality through testing and best practices while performing performance profiling and optimisation including JVM tuning.
• Collaborate with product, QA, DevOps and architecture stakeholders within Agile and Scrum delivery teams.
• Share knowledge and support capability development across nearshore and offshore teams including team mobilisation, onboarding and training.

Experience Required: Extensive experience (10+ years) in enterprise Java development and DevOps practices with proven experience in architecture and hands-on development.

Education: Bachelor's in Engineering or Master's in Computer Science or equivalent

Key Skills

Education

Any Graduate